Abstract: There is a number of problems where the analysis of medical datasets requires the selection of anchoring points in 3D space, such
as the measurement of anatomical structures (i.e. lengths of bones), pathological structures (i.e. tumors), and the measurement
of other elements such as the air contents in the lungs or the gut. Previous research indicates that measurement tasks can be usually carried out more efficiently
in VR environments than in desktop-based systems. However, there is a lack of tools for measurement support for medical models in VR environments.
This paper presents a new VR-based interaction technique, Data-Aware Anchor Points for Medical models (DAAPMed), specially focused on the efficient selection of 3D points in datasets rendered using methods with semi-transparency such as Direct Volume Rendering.
We will show that our method is effective, precise, and reduces the amount of movements required to set the anchor points as compared with
other classical techniques based on clipping planes.(More)

There is a number of problems where the analysis of medical datasets requires the selection of anchoring points in 3D space, such as the measurement of anatomical structures (i.e. lengths of bones), pathological structures (i.e. tumors), and the measurement of other elements such as the air contents in the lungs or the gut. Previous research indicates that measurement tasks can be usually carried out more efficientlyin VR environments than in desktop-based systems. However, there is a lack of tools for measurement support for medical models in VR environments. This paper presents a new VR-based interaction technique, Data-Aware Anchor Points for Medical models (DAAPMed), specially focused on the efficient selection of 3D points in datasets rendered using methods with semi-transparency such as Direct Volume Rendering. We will show that our method is effective, precise, and reduces the amount of movements required to set the anchor points as compared withother classical techniques based on clipping planes.